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AI for cultural heritage within the NARRATIA project. Activities will include Knowledge Graph-Based Narratives, RAG/GraphRAG integration with LLMs, personalised narrative generation, provenance
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of foundational and agentic AI models (LLMs, generative AI, RAG-based architectures) for autonomous, context-aware decision-making. Researching and implementing trustworthy human-machine interaction methods
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-tuning, evaluation, benchmarking, and optimization of large language models (LLMs) and other AI technologies to support research and operational objectives. 6. Design, build, and deploy AI-powered agents
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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an Agentic AI system based on Large Language Models (LLM) and Vision Language Models (VLM) for providing personalized training programs in the field of Occupational Health and Safety (OHS) within industrial
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, national laboratories, semiconductor manufacturers, equipment vendors, and other industry partners. Research directions may include machine learning (ML), deep learning (DL), large language models (LLMs
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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developing new modeling strategies that can integrate heterogeneous public data into model development. Another major research interest is the use of large language model (LLM) techniques to generate highly
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built-in checks on resource limits, timing, and hardware compatibility; integrate large language models (LLM) running on open academic hardware through standard tool interfaces; create validation
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, global health, and artificial intelligence-assisted systems modeling. More information about the lab and its projects is available at https://gyorilab.github.io. About Khoury College We invite you to join